Katharina Proksch
Katharina Proksch
Assistant Professor Statistics, University of Twente
Bestätigte E-Mail-Adresse bei utwente.nl - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Multiscale scanning in inverse problems
K Proksch, F Werner, A Munk
The Annals of Statistics 46 (6B), 3569-3602, 2018
242018
Confidence bands for multivariate and time dependent inverse regression models
K Proksch, N Bissantz, H Dette
Bernoulli 21 (1), 144-175, 2015
202015
Tests for qualitative features in the random coefficients model
F Dunker, K Eckle, K Proksch, J Schmidt-Hieber
Electronic Journal of Statistics 13 (2), 2257-2306, 2019
92019
Tests for qualitative features in the random coefficients model
F Dunker, K Eckle, K Proksch, J Schmidt-Hieber
Electronic Journal of Statistics 13 (2), 2257-2306, 2019
92019
Confidence corridors for multivariate generalized quantile regression
SK Chao, K Proksch, H Dette, WK Härdle
Journal of Business & Economic Statistics 35 (1), 70-85, 2017
92017
On confidence bands for multivariate nonparametric regression
K Proksch
Annals of the Institute of Statistical Mathematics 68 (1), 209-236, 2016
82016
Model Checks in Inverse Regression Models with Convolution‐Type Operators
N Bissantz, H Dette, K Proksch
Scandinavian Journal of Statistics 39 (2), 305-322, 2012
72012
Confidence regions for images observed under the Radon transform
N Bissantz, H Holzmann, K Proksch
Journal of Multivariate Analysis 128, 86-107, 2014
62014
Multiscale inference for a multivariate density with applications to x-ray astronomy
K Eckle, N Bissantz, H Dette, K Proksch, S Einecke
Annals of the Institute of Statistical Mathematics 70 (3), 647-689, 2018
52018
Gleichmäßige Konfidenzbereiche für multivariate inverse Regressionsmodelle mit Faltungsoperatoren
K Proksch
42013
Flaring of blazars from an analytical, time-dependent model for combined synchrotron and synchrotron self-Compton radiative losses of multiple ultrarelativistic electron …
C Röken, F Schuppan, K Proksch, S Schöneberg
Astronomy & Astrophysics 616, A172, 2018
32018
Multiscale inference for a multivariate density with applications to x-ray astronomy
K Eckle, N Bissantz, H Dette, K Proksch, S Einecke
arXiv preprint arXiv:1604.04405, 2016
22016
Monitoring of significant changes over time in fluorescence microscopy imaging of living cells
K Bissantz, N Bissantz, K Proksch
Universitätsbibliothek Dortmund, 2015
22015
Gromov-Wasserstein Distance based Object Matching: Asymptotic Inference
CA Weitkamp, K Proksch, C Tameling, A Munk
arXiv preprint arXiv:2006.12287, 2020
12020
Photonic imaging with statistical guarantees: From multiscale testing to multiscale estimation
A Munk, K Proksch, H Li, F Werner
Nanoscale Photonic Imaging, 283-312, 2020
12020
Tests for qualitative features in the random coefficients model
F Dunker, K Eckle, K Proksch, J Schmidt-Hieber
arXiv preprint arXiv:1704.01066, 2017
12017
Risk Estimators for Choosing Regularization Parameters in Ill-Posed Problems-Properties and Limitations
F Lucka, K Proksch, C Brune, N Bissantz, M Burger, H Dette, F Wübbeling
arXiv preprint arXiv:1701.04970, 2017
12017
Asymptotic normality of kernel estimators for images observed under the radon transform in fan beam design
K Proksch
AIP Conference Proceedings 1558 (1), 728-731, 2013
12013
A note on asymptotic uniform confidence bands in a multivariate statistical deconvolution problem
K Proksch, N Bissantz, H Dette
AIP Conference Proceedings 1479 (1), 438-441, 2012
12012
Robust-to-outliers square-root LASSO, simultaneous inference with a MOM approach
G Finocchio, A Derumigny, K Proksch
arXiv preprint arXiv:2103.10420, 2021
2021
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